#scientificwriting
Live, measured metrics for the hashtag #scientificwriting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #scientificwriting
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-17 17:54 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-17 17:54 UTCNo related tags with measured usage found for #scientificwriting.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-17 17:54 UTCEverything below is measured over the latest 40 public posts (spanning ~7429 hours).
Posting hours (UTC) — busiest: 01:00
Languages: English (32) · German (6) · Spanish (1)
Avg boosts / post: 0.4
Top of the latest posts
Rohan Paul (@rohanpaul_ai) 도쿄도립대 연구에 따르면 AI 텍스트 탐지기 Pangram은 Meta의 Muse-Glimmer로 재작성된 과학 초록의 79.8%를 놓쳤고, 인간 작성 초록 5,000개 중 1개만 AI로 오탐했다. AI 생성·재작성 텍스트 판별의 높은 회피 가능성과 탐지 성능 평가의 한계를 보여주는 결과다. https://x.com/rohanpaul_ai/status/2108796158030274
Don't miss the start of our ☕ #CoffeeLecture series behind the bookshelves 📚 on the topic "there's a librarian for that! Tomorrow, we'll discuss what can and can't be done when using #AI for #scientificwriting and #scientificpublishing. Jo
Our #coffeelecture "Behind the bookshelves" starts over in October! We are starting off with one of the most frequently asked questions: What can and can't be done when using #AI for #scientificwriting and #scientificpublishing? The lecture
#scientificwriting across platforms
every network with a public tag surfaceFollow #scientificwriting straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/scientificwriting